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            <td width="10%" class="headerItem">Current view:</td>
            <td width="35%" class="headerValue"><a href="../../../index.html">top level</a> - <a href="index.html">src/caffe/layers</a> - bnll_layer.cpp<span style="font-size: 80%;"> (source / <a href="bnll_layer.cpp.func-sort-c.html">functions</a>)</span></td>
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            <td width="10%" class="headerCovTableHead">Hit</td>
            <td width="10%" class="headerCovTableHead">Total</td>
            <td width="15%" class="headerCovTableHead">Coverage</td>
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            <td class="headerItem">Test:</td>
            <td class="headerValue">code analysis</td>
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            <td class="headerItem">Lines:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">22</td>
            <td class="headerCovTableEntryLo">9.1 %</td>
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            <td class="headerItem">Date:</td>
            <td class="headerValue">2020-09-11 22:50:33</td>
            <td></td>
            <td class="headerItem">Functions:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">12</td>
            <td class="headerCovTableEntryLo">16.7 %</td>
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            <td class="headerItem">Legend:</td>
            <td class="headerValueLeg">            Lines:
            <span class="coverLegendCov">hit</span>
            <span class="coverLegendNoCov">not hit</span>
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<pre class="sourceHeading">          Line data    Source code</pre>
<pre class="source">
<a name="1"><span class="lineNum">       1 </span>            : #include &lt;algorithm&gt;</a>
<span class="lineNum">       2 </span>            : #include &lt;vector&gt;
<span class="lineNum">       3 </span>            : 
<span class="lineNum">       4 </span>            : #include &quot;caffe/layers/bnll_layer.hpp&quot;
<span class="lineNum">       5 </span>            : 
<span class="lineNum">       6 </span>            : namespace caffe {
<span class="lineNum">       7 </span>            : 
<span class="lineNum">       8 </span>            : const float kBNLL_THRESHOLD = 50.;
<a name="9"><span class="lineNum">       9 </span>            : </a>
<span class="lineNum">      10 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      11 </span><span class="lineNoCov">          0 : void BNLLLayer&lt;Dtype&gt;::Forward_cpu(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      12 </span>            :     const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      13 </span><span class="lineNoCov">          0 :   const Dtype* bottom_data = bottom[0]-&gt;cpu_data();</span>
<span class="lineNum">      14 </span><span class="lineNoCov">          0 :   Dtype* top_data = top[0]-&gt;mutable_cpu_data();</span>
<span class="lineNum">      15 </span><span class="lineNoCov">          0 :   const int count = bottom[0]-&gt;count();</span>
<span class="lineNum">      16 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; count; ++i) {</span>
<span class="lineNum">      17 </span><span class="lineNoCov">          0 :     top_data[i] = bottom_data[i] &gt; 0 ?</span>
<span class="lineNum">      18 </span><span class="lineNoCov">          0 :         bottom_data[i] + log(1. + exp(-bottom_data[i])) :</span>
<span class="lineNum">      19 </span><span class="lineNoCov">          0 :         log(1. + exp(bottom_data[i]));</span>
<span class="lineNum">      20 </span>            :   }
<span class="lineNum">      21 </span><span class="lineNoCov">          0 : }</span>
<a name="22"><span class="lineNum">      22 </span>            : </a>
<span class="lineNum">      23 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      24 </span><span class="lineNoCov">          0 : void BNLLLayer&lt;Dtype&gt;::Backward_cpu(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top,</span>
<span class="lineNum">      25 </span>            :     const vector&lt;bool&gt;&amp; propagate_down,
<span class="lineNum">      26 </span>            :     const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom) {
<span class="lineNum">      27 </span><span class="lineNoCov">          0 :   if (propagate_down[0]) {</span>
<span class="lineNum">      28 </span><span class="lineNoCov">          0 :     const Dtype* bottom_data = bottom[0]-&gt;cpu_data();</span>
<span class="lineNum">      29 </span><span class="lineNoCov">          0 :     const Dtype* top_diff = top[0]-&gt;cpu_diff();</span>
<span class="lineNum">      30 </span><span class="lineNoCov">          0 :     Dtype* bottom_diff = bottom[0]-&gt;mutable_cpu_diff();</span>
<span class="lineNum">      31 </span><span class="lineNoCov">          0 :     const int count = bottom[0]-&gt;count();</span>
<span class="lineNum">      32 </span>            :     Dtype expval;
<span class="lineNum">      33 </span><span class="lineNoCov">          0 :     for (int i = 0; i &lt; count; ++i) {</span>
<span class="lineNum">      34 </span><span class="lineNoCov">          0 :       expval = exp(std::min(bottom_data[i], Dtype(kBNLL_THRESHOLD)));</span>
<span class="lineNum">      35 </span><span class="lineNoCov">          0 :       bottom_diff[i] = top_diff[i] * expval / (expval + 1.);</span>
<span class="lineNum">      36 </span>            :     }
<span class="lineNum">      37 </span>            :   }
<span class="lineNum">      38 </span><span class="lineNoCov">          0 : }</span>
<a name="39"><span class="lineNum">      39 </span>            : </a>
<span class="lineNum">      40 </span>            : #ifdef CPU_ONLY
<span class="lineNum">      41 </span><span class="lineNoCov">          0 : STUB_GPU(BNLLLayer);</span>
<span class="lineNum">      42 </span>            : #endif
<a name="43"><span class="lineNum">      43 </span>            : </a>
<span class="lineNum">      44 </span>            : INSTANTIATE_CLASS(BNLLLayer);
<a name="45"><span class="lineNum">      45 </span><span class="lineCov">          3 : REGISTER_LAYER_CLASS(BNLL);</span></a>
<span class="lineNum">      46 </span>            : 
<span class="lineNum">      47 </span><span class="lineCov">          3 : }  // namespace caffe</span>
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